Patrick Mielke

HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations

Natural language processing (NLP) is often the backbone of today’s systems for user interactions, information retrieval and others. Many of such NLP applications rely on specialized learned representations (e.g. neural word embeddings, topic models) that improve the ability to reason about the relat…